Is it time for a silly pre-spring vacation post? Well, yes. I might be in need of a serious rest… But am I alone in my enjoyment of creating an index? I need to ask. Is this a known condition shared by others?
I spent the most part of a summer vacation back in 2016 doing one. I was advised to try and get some help (research money, not medical) with Affect and Social Media (doubt that would really happen in the current crisis). I bet indexing software is crap too (never tried it). Not sure why, but the other editors didn’t seem keen to do it 😉 They were nonetheless very pleased when I said I liked doing them.
I must add, it’s not the words themselves, but the relations between these lists that gets me excited. Cameron, David followed by Chemsex or Epidemic, Facebook, Fear & Feelings of affordance. Wow! Trolling, Trump, TV debates & Twitter. My favourite – WhatsApp, Whitehead, Williams, Wupocalypse.
Here’s all words and phrases (raw and unedited) I have so far – excitedly awaiting the galleys so I can add page numbers 🙂 Is that as sad as it sounds?
posted wrong cover – updated.
Index (updated 1st May 18)
<ct>Index</ct>
absent present, 13
action cinema, 100, 118-19
actual entities, 19, 21-22, 24
affect theory, 3, 5, 119n7
affective contagion, 153-54, 162, 169, 173. See also contagion; emotional contagion
affective flows, 87, 93
affective intensities, 78, 80, 87, 114, 117, 138
affective pedagogies, 77
affective practices, 29
affective solidarities, 66, 85, 78, 87-88, 89-90, 92-93
affectivity, 4-6, 23, 35, 38-40, 73, 138
algorithm panic, 124-25
anxiety, 31, 39, 68, 72, 100, 107, 118, 122-28, 147, 154, 162-63, 181-84
Aristotle, 5
austerity, 132, 134, 137, 138, 139n7
Bacon, Francis, 5
beauty vlogging, 122-28
behavioural psychology, 188-95
Belting, Hans, 161-62
Bergson, Henri, 5, 28, 31, 33, 39
Berlant, Lauren, 115, 119n1
big data, 44, 71- 72, 92, 99, 191, 194-95
bisexual men, 100, 132-35, 138
the body, 28-29, 31, 33, 42, 66, 72, 77-78, 100, 108, 159, 163-64
Boredom, 52-59, 72
Brexit, 2, 137-38
Brown, Gordon, 180-82
Brown, Steve, 29-30
Cambridge Analytica, 2, 194-95
Cameron, David, 180-82, 191
Chemsex, 131-39
cinematic affect, 119
Clegg, Nick, 180-82
Clough, Patricia, 5, 71, 72
collectivity, 5, 35, 38, 87, 134-35, 138, 191
concrescence, 18-19, 21-22, 24
consumerism, 123-4, 142, 146-47
contagion, 157-65. See also affective contagion; emotional contagion
craigdesigninglife (blog), 144-47
data visceralization, 47-48. See also visceral data
Dean, Jodi, 116-17, 118
Deleuze, Gilles, xi, xii, 5, 38, 82, 139-40n10, 166n8
digital affordances, 46, 85-88, 90, 93, 134. See also feelings of affordance
disciplinary plurality, xii, 3, 4-5
dystopic, 2, 7, 99, 155, 189, 193, 195
Elefriends (website), 14, 26-27, 29-33
Ebola epidemic, 157-65
embodiment, 158, 159, 162
emoticons, 5, 13, 18, 20, 23-24
emotion(s), 2-3, 7, 13, 18, 21-25, 30, 35, 39-40, 42, 43-48, 53, 55-57, 59, 72, 77-78, 79, 81,
87, 100, 101-2, 107, 128, 141, 143, 147, 154-55, 170, 178-86, 189
emotional chains, 154-55, 178, 185
emotional contagion. 1-2, 8n4, 155, 178-79, 185, 189. See also affective contagion;
contagion
emotional design, 3, 45
emotional labour, 126-7
emotionalisation of society, 178
enterprise society, 143
Esposito, Roberto, 159, 162, 164
Facebook, 1-3, 6, 8n4, 21, 23-24, 52-53, 55-56, 59, 67, 70, 72, 76, 89, 90, 99, 170, 189, 194,
fear, 36, 90, 99, 157, 162-65, 181-83
feelings of affordance, 29-33. See also digital affordances
Foucault, Michel, 190
Freud, Sigmund, 5, 180
gay men, 131, 135, 138, 141-43, 145, 147
gender, 37, 44, 85-86, 89, 102-3, 108, 125, 138, 141, 142
Gilbert, Jeremy, 5
Gregg, Melissa, 5, 120n9
Grindr (app), 131-32, 133, 135-36
Grusin, Richard, 162-63
hacking, 99, 100, 102, 113, 114-19
Hands, Joss, 70, 75n27
Hansen, Mark, 28-29, 31, 39
hashtag feminism, 85-86, 89
hashtag GamerGate, 101-4, 107-9
Hazmat suit, 159, 162-63
Hochschild, Eileen, 128
hook-up apps, 131-39
human capital, 142, 143-45, 147
images, 28, 31, 33, 67, 70, 90-91, 93, 117, 143, 144-47, 157-65, 168-75
immunity, 158, 162-65
individuation, 35, 38-40, 71. See also Simondon, Gilbert
infra-structure of feeling, 72-73
Ingold, Tim, 13-14, 36-37, 40
intimacy, 77, 88, 132-33, 135-36, 138
intuitive data toxicology, 47-48
journalism, 3, 101-3, 168-75
Kember, Sarah, 87
Kramer, Adam, 185, 194
Laing, R.D., 108
Lang, Peter, 53-56, 59
libertarian paternalism, 191
lifestyle, 20, 100, 111, 122, 143, 144-46
London, 132-34
Lury, Celia, 70-71
Marx, Karl, 21
masks, 127, 158, 159, 163
Massumi, Brian, 72, 77, 164-65
materiality, 39, 158, 159, 162
mediated intimacies, 88
meshwork, 36, 38, 40
moral panic, 131-32. See also algorithmic panic; panic
multisensory human computer interaction (HCI), 45
neoliberalism, 80, 116, 124, 132-34, 137-38, 141-43, 145, 147
neurosubject, 80
new materialisms, 70, 71, 75n27
Norman, Don, 3
nudge theory, 46, 99, 191, 195
online disinhibition, 107
Paasonen, Susanna, 4, 87
panic, 124, 127. See also algorithmic panic; moral panic
panopticism, 190, 192-94. See also surveillance
Paparachissi, Zizi, 87
Parikka, Jussi, 7
pedagogies, 77, 78, 80-82. See also affective pedagogies
Peeple (app), 192-93
personal information, 18, 20-22, 24, 102
popular fantasy, 113, 119
pornography, 4, 142, 144, 145, 147
Powell, Helen, 7
pre-emergence, 70-71, 72-73
prehensions, 5, 19, 22-25
privacy, 44, 46-48, 92, 99, 142, 192
produser, 88, 92
psychometrics, 195
Quinn, Zoe, 100-102
race, 44, 81-82
rape culture, 85-86, 88-90, 91, 93
Reavey, Paula, 29-30
Ringrose, Jessica, 37, 88
risk anxieties, 103
Sampson, Tony D., 6, 80, 163
Sandel, Michael, 109
Sedgwick, Eve, 73
Seigworth, Gregory J., 5, 120n9
Shaviro, Steven, 114, 119
Simondon, Gilbert, 35, 38-40
Skinner, B.F., 188-90, 192-92, 194, 197n19
somaesthetic, 42, 45
spectacle, 115, 117-18
Spinoza, Baruch, 5, 132
Spire (wearable technology), 76-82. See also wearable technologies
surveillance, 99, 117-19, 189-90
temporality, 14, 18-19, 36-37, 40, 67-69, 71, 74, 78
temporal present, 67-69, 71
terror, 117, 168-73
texture, 28-29, 65, 73-74
Thoreau, Henry D., 188, 189
trauma (PTSD), 136-37, 169-73, 176n22, 176n25
trigger warnings, 26-33, 80, 91, 99
trolling, 5, 85, 101-9
Trump, Donald, 2, 137, 138, 194-95
TV debates, 178-86
Twitter, 22, 66, 67, 70, 72, 85-93, 101, 102, 123, 178-86. See also hashtag feminism;
hashtag GamerGate,
users, 3, 13, 21, 23-24, 44-48, 77, 88, 90, 92, 99, 106, 113-19, 119n3, 124-25, 178-86, 189,
190-95
user generated content (UGC), 170-74
utopian, 189, 193-95
Valiaho, Pasi, 165
viral, 1, 81, 82, 86, 93, 101, 153, 158, 159, 194
visceral data, 42-48
viscerality, 6-7, 42-48
Wakeford, Nina, 71
wearable technologies, 76-82
WhatsApp, 21
Whitehead, Alfred N., 5, 18-25, 155n1
Williams, Raymond, 65, 68-74, 75n27
Wupocalypse, 103-5, 107, 108-9
YouTube, 52, 55-59, 100, 103, 104-5, 107, 110n11, 111n16, 122-28, 165, 170, 172,
177n31
Zoella, 123-24, 125, 127, 128
Zylinska, Joanna, 87
VIRALITY 